Image Recognition
The accuracy of machine learning in terms of recognising these images is far more accurate and faster than real human users. The current human recognition success rate is maximum up to 65-70% for the first attempt, but the success rate of machine learning is over 99.95%”, said Beheshti. “One of the abilities that only we possess is our visual system, and it is far more advanced than computer vision, and despite the advancements in computer processing power and all the mechanisms we have in image processing, our visual system is still far more advanced than any computer program. These saccades are separated by fixations and during each fixation our visual system and neural network receives the visual information from the outside world. Our visual system can receive the analog signal and we see things, we don’t calculate things.